โA component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.โ
โThe lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problemsโ
โRepository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciMLโ
